Today’s artificial intelligence technologies use quite a lot of energy. For this reason, the production of low-energy AI systems is very important for a sustainable world. Artificial intelligence may be performed using tiny nanomagnets that communicate similarly to neurons in the brain, according to researchers. The Imperial College London researchers

Perhaps even moreso than even big data or blockchain, AI is fast becoming the buzzword on everyone’s lips. Machine learning has been a promising field for years, but with the astonishing success of deep learning techniques, we’re rapidly being propelled into an automated future. But can AI withstand the hype?

If the popular media are to be believed, artificial intelligence (AI) is coming to steal your job and threaten life as we know it. If we do not prepare now, we may face a future where AI runs free and dominates humans in society. The AI revolution is indeed underway. To

Deep neural networks and Deep Learning are powerful and popular algorithms. And a lot of their success lays in the careful design of the neural network architecture. I wanted to revisit the history of neural network design in the last few years and in the context of Deep Learning. For

Whether you’re entirely new to the field of big data, or looking to expand your machine learning knowledge; whether you have 3 hours or 3 minutes; whether you want you want to know more about the technology, or the high-level applications- this list is a sample of the best Youtube

TOP DATACONOMY ARTICLES Introduction to Bayes Theorem With Python “So I feel like there is not a lot of good information out their on how to use Bayes Theorem for modeling – especially with Python code. Like try figuring out how to understand a Bayesian Linear Regression from just Google

What does a machine learning scientist who also happens to be a wine enthusiast come up with after a chance encounter with a legendary Bordeaux wine? An application that might be able to predict the quality of wine. Alex Tellez was a Machine Learning Scientist at Robert Half and a

The field of data science has been overcome by buzzwords over the past few years. Such words often start as potentially powerful and revolutionary ideas, but through overuse and miscomprehension lose their potency. One of the terms within the field of data science that is adhering to this trajectory is

Machine learning- to put it mildly- is an incredibly broad and varied field, with multitudes of applications. Thus, writing a list entitled “10 Machine Learning Experts You Need to Know” proves challenging for a number of reasons. Firstly, I’ve restricted my ten picks to those currently working in the field-

In the first part of our interview with Sean Owen, Cloudera‘s Director of Data Science, we discussed the relationship between machine learning and Hadoop, the future of Apache Mahout and why machine learning has become such hot property. In this part of our discussion, we delved into the future of